• Journal of The Korean Society of Integrative Medicine
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• v.12 no.2
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• pp.77-87
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• 2024

Purpose : The study aim was to determine the present state of occupational therapists in Korea in terms of the Model of Human Occupation (MOHO). We collected basic data for future research by investigating recognition by occupational therapists for applications of the MOHO and the necessity thereof. Specifically, we explored ways to effectively apply the MOHO in occupational therapy. Methods : We conducted a study from December 3, 2023, to January 18, 2024. A survey was administered to 163 occupational therapists. The general characteristics, recognition, and necessity of the MOHO were examined using a frequency analysis and descriptive statistics. Results : The most responses to "degree of ease of access to the MOHO information" were for "disagree" 56 people(34 %). Regarding "degree of satisfaction with information about [the] MOHO," 53 people (33 %) responded with "disagree" (the highest response rate). Only 22 % had applied the MOHO previously. Second, occupational therapists thought that the MOHO should be applied in occupational therapy clinical practice; they also believed that related education was needed for occupational therapy university/college students and occupational therapists. In response to the question, "What channels do you think MOHO education will be helpful for?", 118 people (32 %) answered "continuing education at the association level," and 86 people (23 %) answered "educational institutions aimed at MOHO." Conclusion : Based on these results, I recommend the following. For application of the MOHO in occupational therapy clinical practice, an occupation-based concept must first be established. In addition, related knowledge must be acquired through the expansion of education regarding the MOHO. The efficient application of the MOHO will ultimately lead to improvement in the health of clients.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.271-283
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• 2024

The study seeks to examine the alignment between the Model of Human Occupation (MOHO) and the Six Principles of the Individuals with Disabilities Education Act (IDEA) through qualitative analysis. The study utilizes a qualitative methodology that entails a comprehensive review of the existing literature to establish connections between MOHO and Individuals with Disabilities Education Act (IDEA) principles, with a specific focus on collaborative special education environments. Data collection involves examining academic literature on MOHO, Individuals with Disabilities Education Act (IDEA) principles, and the partnership between occupational therapists and special education teachers. Thematic analysis is employed to identify recurrent themes and relationships, offering valuable insights into the theoretical foundations of MOHO and its compatibility with the Individuals with Disabilities Education Act (IDEA)The Model of Human Occupation (MOHO) highlights the significance of active engagement and meaningful participation in inclusive education. It promotes the development of independence and self-determination in occupational performance for children with special needs. Moreover, MOHO stresses the importance of offering tailored support and adjustments for these children.

• Therapeutic Science for Rehabilitation
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• v.2 no.1
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• pp.66-76
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• 2013

Objective : Based on the Model of Human Occupation (MOHO), this study was to identifies the goals setting of elderly person with dementia. Methods : For 5 weeks from May to June of 2012, MOHO-based interviews and Occupational Questionnaire(OQ), Interest checklist(IC), Volitional Questionnaire(VQ), The Assessment of Communication and Interaction Skills(ACIS), Occupational Performance History Interview-II(OPHI-II), Occupational Self Assessment(OSA), The Occupational Circumstances Assessment Interview and Rating(OCAIR) assessment were conducted on elderly person with dementia. Further interviews were conducted with case manager and family. Results : After interviews and assessments were conducted, the results of which showed limitations in social and family relationship, financial issues, general well-being. Conclusion : Applying the MOHO forms a basis for judging the subject in a holistic and general way, changes how the subject is viewed, suggests various strategies. For improving the professinoalism and qualities of occupational therapy service, and may help expand the range of other relevant areas.

• Journal of Practical Engineering Education
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• v.8 no.2
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• pp.147-155
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• 2016

The purpose of this study was to develop the fit-occupation for getting a job or supporting start-up in the middle and senior aged. The study was performed in three phases; First classification categories and model were developed to select occupation candidates. Secondly, 40 occupation candidates were developed and reviewed the priority through the analysis of current status and needs of employment in the middle and senor aged. Thirdly, the final 4 fit-occupations in Korea Polytechnics were chosen through in-depth interviews of experts and survey. These results are suggested some implications for the management of vocational education for baby boomers as a public education and training institution.

• Korea journal of population studies
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• v.33 no.2
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• pp.33-59
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• 2010

This paper intends to find the determinants of the occupational aspirations of college students in Korea. According to Wisconsin model, the occupational aspiration of youth has a statistically significant influence on his or her actual education level and occupation choice implying that the more motivated with high-level occupational aspiration will obtain the higher level of occupation. The analysis for this study is based on the survey of undergraduate students' perception, attitude and lifestyle in Korea 2004, which was conducted against 1,947 respondents, and multiple regression model was utilized. The dependent variable for occupational aspirations was measured by the Standard International Occupational Prestige Scale (SIOPS) of Donald J. Treiman. Independent variables include social capital and cultural capital as well as demographic variables, socio-economic status, and human capital variables. Social capital variable was measured by the position generator scale of Nan Lin and Mary Dumin, and cultural capital variable was done to our original index. This study shows that social and cultural capitals are factors having significant influence on occupational aspiration, in addition to the well-known factors such as gender, human capital and the occupation of father.

• The Journal of Industrial Distribution & Business
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• v.11 no.10
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• pp.7-16
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• 2020

Purpose: It suggests that making a policy and strategies in a way of AI and its impact of commercialization on economic efficiency, social custom ethics. Research design, data, and methodology: The paper has analyzed the data based on the proposed model when derived as AI vs. FI job, etc. It is very different for each professional evaluation, which is artificial intelligence or robot job. One concept case was selected as a substitute job, with a relatively low level of occupation ability, such as direct labors, easily replaced. By the induction data has resulted in modeling. Results: The paper suggests that AI at high level become something how to make real decisions on ethical value modeling. Through physical simulation with the deduction data, it can be tuned to design and control what has not been solved, from human senses to climate. Conclusion: For the exploiting of new AI decision-making jobs in markets, the deduction data is possible to prove to AI's Decision-making that the percentage who can easily have different leadership as is different for each person. what is generated by some information silos may be applied to occupation societies. The empirical results indicate the deduction data that if AI determines ethical decisions (VC) for that modifications, it may replace future jobs.

• Journal of the Korea Society of Computer and Information
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• v.28 no.4
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• pp.21-29
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• 2023

In this paper, we propose an AI-based system for automatically classifying industry and occupation codes in the population census. The accurate classification of industry and occupation codes is crucial for informing policy decisions, allocating resources, and conducting research. However, this task has traditionally been performed by human coders, which is time-consuming, resource-intensive, and prone to errors. Our system represents a significant improvement over the existing rule-based system used by the statistics agency, which relies on user-entered data for code classification. In this paper, we trained and evaluated several models, and developed an ensemble model that achieved an 86.76% match accuracy in industry and 81.84% in occupation, outperforming the best individual model. Additionally, we propose process improvement work based on the classification probability results of the model. Our proposed method utilizes an ensemble model that combines transfer learning techniques with pre-trained models. In this paper, we demonstrate the potential for AI-based systems to improve the accuracy and efficiency of population census data classification. By automating this process with AI, we can achieve more accurate and consistent results while reducing the workload on agency staff.

• Journal of Labour Economics
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• v.24 no.2
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• pp.63-94
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• 2001

Based on the human capital theory, the wage differentials among laborers are generated from the discrepancy of human capital stock which depends on individual laborer's decision. Hence, the wage differentials among laborers or between male and female are not the results of discrimination, but the results of individual choice. But, if the individual choice for human capital stock would be affected by the male-female discrimination, the explanation for male-female wage differentials base on the human capital stock has a bias. Actually, women have experienced in the discrimination on labor market participation due to gravity, parturition, infant rearing. Also, it is a fact that women have been discriminated against men in labor market owing to social, traditional, and cultural discriminations. If woman or her parent will less invest on human capital than man owing to the existence of discrimination in labor market, the 'expected human capital stock' instead of human capital stock will explain male-female wage differentials better. Therefore, in this study, we set up three models; first model includes working hours, industry, occupation, etc which are in general used as explanatory variables for wage decision, second model includes the variables which reflect the traditional human capital stock together with the first model's explanatory variables, third model employes the 'expected human capital stock' instead of traditional human capital stock. From the empirical test, the estimates of discrimination in three models are .93, .60, and, .48 respectively. This result implies that the male-female wage differentials in Korea can be explained by the discrepancy of 'expected human capital stock'. Since the discrepancy in expected human capital stock depend on the disparity in life-cycle labor force participation, male-female wage differentials can largely be attributed to male-female disparity in expected lifetime labor force participation.

• Journal of the Korean housing association
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• v.20 no.4
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• pp.69-78
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• 2009

The purpose of this study is to identify which is the better indicator to forcast housing tenureship between permanent income and current income, and study the effects of non-human capital asset on housing tenureship. To forcast permanent income, a statistic regression equation is used with current income as the dependent variable. Multi-nomial logistic model is used to forcast the housing tenureship Using current income as the dependent variable delivered a more accurate result than using permanent income. Current income is used as a dependent variable and sex, age, education and occupation are used as independent variables to forcast permanent income. Non-human capital asset is also used as an independent variable. Also, excluding non-human capital asset variable when forcasting bothe permanent income and housing tenureship proved to be more accurate. Because permanent income, the sum of future income and current asset, is a good indicator of current consumption including housing, the result with permanent income should be more accurate than the forcast using current income. This implies an underdevelopment of a housing mortgage system that enables people to consume now on the basis of their future income. The Korea's unique Chonsei housing rental system has also made it difficult to forcast housing tenureship based on people's permanent income and asset. While, the Key-money of Chonsei housing and the housing asset of homeowners with debt are very similar in their amount, the result is completely different. One is a renter and the other is a homeowner.

• Journal of Digital Convergence
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• v.5 no.2
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• pp.109-122
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• 2007

The original element for development in current society is recognized as knowledge, technology and information. It has been developed and improved the human resources development system through the occupational standards that closely connected system among work, education training and qualification in every country. This study is for development of the occupation standards that was standardized the required competency element, performance criteria, range statement, assessment guideline in machinery industry, also developing the education training program based on competency to be able to apply department of relevant machinery industry in vocational high school. Occupational standards and key competencies were developed by expert in field engineer and verified about contents and level system by questionnaire and interviewing. Education training program was developed on SCID model, and the effectiveness and suitability of the training program was verified by teacher, professor and student belonging to training organization.